San Mateo, CA, United States of America

Manoj Srivastava

USPTO Granted Patents = 3 

Average Co-Inventor Count = 3.2

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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3 patents (USPTO):Explore Patents

Title: Innovations by Manoj Srivastava in Machine Learning and Gaming

Introduction

Manoj Srivastava is an accomplished inventor based in San Mateo, CA. He has made significant contributions to the field of machine learning, particularly in applications related to gaming and social networking. With a total of three patents to his name, Srivastava is recognized for his innovative approaches to reconstructing occluded facial regions.

Latest Patents

One of his latest patents focuses on the "Reconstruction of occluded regions of a face using machine learning." This invention involves inputting an image of a computer game player wearing a headset that occludes part of their face into a trained machine learning model. The model then outputs a full-face image that is not occluded, which can be utilized in social network settings related to the game. Another notable patent is "Training a machine learning model for reconstructing occluded regions of a face." This patent describes a process where a machine learning model is trained using pairs of images, including a human face and a duplicate image with a computer game headset overlaid. The trained model can subsequently receive an image of a gamer wearing a headset and output a full-face image for social networking purposes.

Career Highlights

Manoj Srivastava is currently employed at Sony Interactive Entertainment Inc., where he continues to push the boundaries of technology in gaming. His work has not only advanced the field of machine learning but has also enhanced user experiences in gaming environments.

Collaborations

Some of his notable coworkers include Rathish Krishnan and Deepali Arya, who contribute to the innovative projects at Sony Interactive Entertainment Inc.

Conclusion

Manoj Srivastava's contributions to machine learning and gaming demonstrate his commitment to innovation and technology. His patents reflect a deep understanding of both user experience and advanced computational techniques.

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